The Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.

You will serve as the Directly Responsible Individual (DRI) for key security initiatives or workstreams when required, owning outcomes and driving decision-making to keep programs moving forward. You will create program strategies and artifacts, including proposals, prioritization frameworks, roadmaps, dependency maps, and risk registers, to drive initiatives that incrementally increase program maturity over time.

You will partner with Product, Engineering, and Security teams to influence adoption of critical initiatives, navigate technical dependencies, and support the Software Development Lifecycle (SDLC) as part of product and feature launches. You will concurrently manage multiple critical projects end-to-end: establishing milestones and timelines, managing cross-functional workstreams and dependencies, holding teams accountable for deliverable quality, and clearly communicating the impact of delays on project timelines and security risk posture.

You will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.

You will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.

You will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.

We're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.

You should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.

Nice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.

XML job scraping automation by YubHub

Technical Program Manager, Frontier AI Research

About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

The Role

As a Technical Program Manager in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research.

Key Responsibilities

• Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
• Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
• Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
• Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
• Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
• Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
• Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.

About You

• Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
• Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
• Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
• Preferred Qualifications:
• Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
• Direct experience in AI/ML research or development
• Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
• Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

XML job scraping automation by YubHub

As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.

Key responsibilities include partnering closely with data collection teams, research teams, and the Engineering team to establish and govern internal data collection efforts, ensure seamless delivery of new evaluations and data collections, and oversee design and implementation of new environments for data collection or robot platform modifications.

You will also monitor and report on operational efficiency and resource utilization metrics, evaluate and improve processes, tools, templates, and documentation for repeatability and sustainability, and implement processes and methodologies to reduce operational costs.

To succeed in this role, you must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind's research through strategic cross-functional partnerships.

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Experience partnering with Research/Engineering leads on high impact, goal-oriented projects.
• Bachelor's degree in an engineering discipline along with equivalent practical experience of 5+ years.
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
• Experience in solving complex challenges, implementing scalable and sustainable solutions.
• Knowledge of, or curious to learn about AI/machine learning research.
• Familiar with hardware and software testing and associated safety protocol.

In addition, the following would be an advantage:

• Robotics domain knowledge and experience.
• Master's degree in a relevant field (Robotics/AI).
• Experience managing operational teams.
• Experience in a technical lab or production environment.

XML job scraping automation by YubHub